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Hello, I'm running mixed models in GAMM4 with 2 (non-nested) random intercepts and I want to include a spline term for one of my exposure variables. However, when I include a spline term, I always get reported degrees of freedom of less than 1, even when I know that my spline is using more than 1 degree of freedom. For example, here is the code for my model: >

Hi All, I have location data set up as degrees: minutes: seconds (for example, 122:45:45) I need to get this data into decimal degree form (eg, 122.7625). I know that I need to use the formula: Decimal degrees = Degrees + (Minutes/60) + (Seconds/3600) Does anyone know how I can get R to do this? The original data is all in one column (called 'lat') and the degrees, mins and secs

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Hello all. I was wondering if there is any way to adjust the denominator degrees of freedom in lme(). It seems to me that there is only one method that can be used. As has been pointed out previously on the list, the denominator degrees of freedom given by lme() do not match those given by SAS Proc Mixed or HLM5. Proc Mixed, for example, offers five different options for computing the

Hello, I have a little problem about degree of freedom in R. if you can help me, I will be happy. I used nlme?function to analyze my data and run the linear mixed effects model in R. I did the linear mixed effect analysis in SAS?and SPSS as well. However, R gave?the different degrees of freedom than SAS?and SPSS did. Can you help me to learn what the reason is to obtain different degrees of

On 31.10.2017 00:56, Alex Restrepo wrote: > Hi, > > I would like to rotate the x axis tick labels by 45 degrees. Using the code below, could someone please provide an example? Many Thanks In Advance, Alex 45 degree rotation is not supported in base R graphics and scatterplot3d uses that. You can use par(las=2) before your code and get them rrotated by 90 degrees, or you can add

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Hello, This one is very perplexing. I have teacher observation data, with factors teacher ID, observer ID, component, grade and subject. When I do this, aov(data=ratings.prin.22, rating ~ obsid.f + tid.f + subject.f + grade.f + comp.f) I get this: Terms: obsid.f tid.f grade.f comp.f Residuals Sum of Squares 306.23399 221.38173 1.70000 14.52831 279.05780 Deg. of

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Hello, David, don?t worry about answering this question or any of my inquiries in the future. Not looking for code servants. Definitely not an expert at using the scatter plot 3D library. That being said, I plan on researching rgl as was recommended so kindly on a previous response to my question. Regards, Alex On Oct 31, 2017, at 4:13 PM, David Winsemius <dwinsemius at

Dear all I have a factor variable which holds values like "Engineer", "Doctor", "Teacher" etc. I would like to collapse those categories so that Teachers and Sociologists form one category named "Teach & Soc" etc. However, I do not know how I can do it. Recoding does not seem to work. Thank you Dr. Iasonas Lamprianou Assistant Professor

I feel this is a slap in the face for those of us that have been here and I don't feel I should HAVE to pay to be certified... I think me and MANY others are about to walk out of the project over this. I have already spoken with many people that are close to the project. You're hurting US and our ability to make money. I still know the code better than most of the people that will be

Dear all, I have a data.frame that includes a series of demographic variables for a set of respondents plus a dependent variable (Theta). For example: Age Education Marital Familysize Income Housing Theta 1: 50 Associate degree Divorced 4 70K+ Owned with mortgage 9.147777 2: 65

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Dear r-devel list members, I've recently encountered the following problem using predict() with a model that has raw-polynomial terms. (Actually, I encountered the problem using model.frame(), but the source of the error is the same.) The problem is technical and concerns the design of poly(), which is why I'm sending this message to r-devel rather than r-help. To illustrate:

I want to use the caret package to train linear models. I want to compare these models when using different degrees (aka degrees of interaction). This is possible for the 'earth' method (using the '.degree' parameter) but I found no possibility of customizing the degree for the 'lm' method. This might be due to the fact that the basic 'lm' function does not support